Larry M. Manevitz

2.2k total citations · 1 hit paper
50 papers, 1.5k citations indexed

About

Larry M. Manevitz is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Signal Processing. According to data from OpenAlex, Larry M. Manevitz has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 13 papers in Cognitive Neuroscience and 7 papers in Signal Processing. Recurrent topics in Larry M. Manevitz's work include Neural Networks and Applications (13 papers), Neural dynamics and brain function (7 papers) and Advanced Memory and Neural Computing (4 papers). Larry M. Manevitz is often cited by papers focused on Neural Networks and Applications (13 papers), Neural dynamics and brain function (7 papers) and Advanced Memory and Neural Computing (4 papers). Larry M. Manevitz collaborates with scholars based in Israel, United States and United Kingdom. Larry M. Manevitz's co-authors include Malik Yousef, Hananel Hazan, Dan Givoli, David R. Hardoon, Alex Frid, Shimon Sapir, Lorraine O. Ramig, Asaf Gilboa, Louise C. Showe and Michael K. Showe and has published in prestigious journals such as Expert Systems with Applications, BMC Bioinformatics and Information Sciences.

In The Last Decade

Larry M. Manevitz

45 papers receiving 1.4k citations

Hit Papers

One-class svms for document classification 2002 2026 2010 2018 2002 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. One-class svms for document classification
    2002 843 citations Larry M. Manevitz, Malik Yousef Journal of Machine Learning Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Larry M. Manevitz Israel 15 924 215 200 174 157 50 1.5k
Maurizio Filippone United Kingdom 20 934 1.0× 416 1.9× 157 0.8× 119 0.7× 224 1.4× 62 1.8k
Andreas Stafylopatis Greece 20 747 0.8× 335 1.6× 121 0.6× 203 1.2× 75 0.5× 125 1.4k
Ana Carolina Lorena Brazil 25 995 1.1× 307 1.4× 90 0.5× 266 1.5× 227 1.4× 117 1.9k
S. Maouche France 11 658 0.7× 392 1.8× 114 0.6× 87 0.5× 149 0.9× 40 1.5k
Akash Srivastava India 10 1.0k 1.1× 466 2.2× 97 0.5× 258 1.5× 103 0.7× 44 1.7k
Joseph Keshet Israel 21 1.8k 1.9× 571 2.7× 120 0.6× 183 1.1× 493 3.1× 78 2.3k
Dat Tran Australia 17 474 0.5× 288 1.3× 121 0.6× 276 1.6× 341 2.2× 153 1.2k
Fuqian Shi China 23 301 0.3× 445 2.1× 168 0.8× 121 0.7× 106 0.7× 76 1.5k
S. Ramakrishnan United States 22 541 0.6× 620 2.9× 208 1.0× 105 0.6× 338 2.2× 199 2.0k

Countries citing papers authored by Larry M. Manevitz

Since Specialization
Citations

This map shows the geographic impact of Larry M. Manevitz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Larry M. Manevitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Larry M. Manevitz more than expected).

Fields of papers citing papers by Larry M. Manevitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Larry M. Manevitz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Larry M. Manevitz. The network helps show where Larry M. Manevitz may publish in the future.

Co-authorship network of co-authors of Larry M. Manevitz

This figure shows the co-authorship network connecting the top 25 collaborators of Larry M. Manevitz. A scholar is included among the top collaborators of Larry M. Manevitz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Larry M. Manevitz. Larry M. Manevitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Avesani, Paolo, et al.. (2015). Non-parametric temporal modeling of the hemodynamic response function via a liquid state machine. Neural Networks. 70. 61–73. 3 indexed citations
5.
Avesani, Paolo, et al.. (2011). Learning BOLD Response in fMRI by Reservoir Computing. 3141. 57–60. 1 indexed citations
6.
Yousef, Malik, et al.. (2009). Classification and biomarker identification using gene network modules and support vector machines. BMC Bioinformatics. 10(1). 337–337. 38 indexed citations
7.
Manevitz, Larry M., et al.. (2007). A simulation tool for modeling the influence of anatomy on information flow using discrete integrate and fire neurons. Journal of Combinatorial Optimization. 15(3). 287–304.
8.
Manevitz, Larry M. & Malik Yousef. (2006). One-class document classification via Neural Networks. Neurocomputing. 70(7-9). 1466–1481. 146 indexed citations
9.
Hardoon, David R. & Larry M. Manevitz. (2005). fMRI analysis via one-class machine learning techniques. International Joint Conference on Artificial Intelligence. 1604–1605. 17 indexed citations
10.
Hardoon, David R. & Larry M. Manevitz. (2005). One-class Machine Learning Approach for fMRI Analysis. ePrints Soton (University of Southampton). 5 indexed citations
11.
Manevitz, Larry M. & Malik Yousef. (2004). A web navigation system based on a neural network user-model trained with only positive web documents. Web Intelligence and Agent Systems An International Journal. 2(2). 137–144. 2 indexed citations
12.
Manevitz, Larry M. & Malik Yousef. (2002). One-class svms for document classification. Journal of Machine Learning Research. 2(2). 139–154. 843 indexed citations breakdown →
13.
Manevitz, Larry M. & Shimon Marom. (2002). Modeling the Process of Rate Selection in Neuronal Activity. Journal of Theoretical Biology. 216(3). 337–343. 3 indexed citations
14.
Manevitz, Larry M. & Malik Yousef. (2000). Document Classification on Neural Networks Using Only Positive Examples. International ACM SIGIR Conference on Research and Development in Information Retrieval. 34. 304–306. 12 indexed citations
15.
Manevitz, Larry M. & Malik Yousef. (2000). Document classification on neural networks using only positive examples (poster session). 304–306. 15 indexed citations
16.
Shoham, Moshe, et al.. (1996). Approximating Functions by Neural Networks: A Constructive Solution in the Uniform Norm. Neural Networks. 9(6). 965–978. 17 indexed citations
17.
Manevitz, Larry M., et al.. (1993). Heuristic finite element node numbering. Computing Systems in Engineering. 4(2-3). 159–167. 4 indexed citations
18.
Hummel, Robert A. & Larry M. Manevitz. (1987). Combining bodies of dependent information. International Joint Conference on Artificial Intelligence. 1015–1017. 6 indexed citations
19.
Herfort, Wolfgang & Larry M. Manevitz. (1985). Topological Frobenius groups. Journal of Algebra. 92(1). 16–32.
20.
Manevitz, Larry M.. (1984). Applied model theory and metamathematics. Israel Journal of Mathematics. 49(1-3). 3–14.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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